- 🎓 B.Tech (ECE) with Minor in AI/ML — MAIT, GGSIPU (2026)
- 💻 Passionate about Backend Engineering and Full Stack Development
- 🚀 Interested in building scalable backend systems and production-grade applications
- 🌱 Currently learning System Design, Distributed Systems, Backend Scalability, and AI Integrations
A production-ready full-stack e-commerce platform built using modern backend engineering practices.
- 🔐 JWT Authentication + Refresh Token Rotation
- ⚡ Redis Server-side Caching
- 📦 Socket.io Real-time Order Tracking
- 💳 Razorpay Payment Integration
- ☁️ Cloudinary Image Storage
- 📧 OTP Verification & Email Notifications
- 🐳 Docker Support
- 📊 Admin Analytics Dashboard
- ⭐ Product Reviews & Ratings
- 📝 Winston Logging
- ✅ Zod Validation
- 🌐 Live: https://aranya-ecommerce-self.vercel.app
- 📂 Repository: https://github.com/krish8986/Aranya-Ecommerce
- 🎥 Demo: https://www.loom.com/share/b15913f724eb4df5bfc9961d48e7d22f
Production-ready AI-powered credit underwriting platform that automates loan approval prediction using Machine Learning, Explainable AI, and a FastAPI-based backend. The application includes a Streamlit dashboard, SHAP-based model explanations, PDF report generation, and a Retrieval-Augmented Generation (RAG) assistant for context-aware credit underwriting queries.
Python • FastAPI • Streamlit • Scikit-learn • SHAP • FAISS • Groq LLM • Docker
- 📂 Repository: https://github.com/krish8986/AI-Predictive-Methods-for-Credit-underwriting
- 🌐 Live Demo: https://ai-predictive-methods-for-credit-underwriting-dfqmcy7nmn2bczde.streamlit.app
- ⚡ API Docs: https://ai-predictive-methods-for-credit.onrender.com/docs
- Cloudinary
- Railway
- Vercel
- MongoDB Atlas
- Socket.io
- JWT
- Razorpay
- Backend Scalability
- Distributed Systems
- System Design
- RAG
- AI Backend Engineering
- Basic CI/CD